You are extraordinary. We build extraordinary things. Join us in our pursuit of a world built better with fewer errors.

Our mission is to help contractors focus on their most impactful work by automating the most tedious, error-prone tasks with smart, user-friendly tools.

Our Values:

Customer-centric, Creative, Inquisitive, and Honest

Job Openings:

Join mbue and revolutionize Architectural Review with AI!

Senior Software Engineer

  • As a Senior Software Engineer at mbue, you’ll be instrumental in building the core infrastructure and product features that power our AI-driven architectural review platform. You’ll take ownership of key systems, contribute to backend and frontend development, help organize and prioritize the engineering backlog, and work closely with leadership to unblock execution. This is a hands-on role that balances technical depth, organizational skills, and a strong product mindset.

    We’re looking for someone with a builder mentality—practical, creative, impact-driven—who thrives in fast-paced environments and brings order and momentum to the team.

    Here’s what you’ll be doing:

    • Design, build, and maintain robust and scalable backend services using Python and FastAPI

    • Deploy and manage applications in AWS using Docker and Fargate

    • Own CI/CD pipelines and ensure reliable, high-quality software releases using GitHub Actions

    • Translate product features into technical specifications and Jira epics/tickets

    • Collaborate across engineering to remove blockers and maintain execution focus

    • Lead the effort to ship our mbue Submittals MVP and support its launch

    • Contribute to our SOC2 Type 2 compliance process and organize deliverables in Sprinto

    • Prototype new features and resolve technical risks through experimentation

    • Foster a culture of high standards, ownership, and continuous improvement

    What we’re looking for:

    • Strong backend development experience in Python and FastAPI

    • Familiarity with frontend technologies like React and willingness to contribute to full-stack delivery

    • Experience integrating and deploying LLMs, including prompt engineering and fine-tuning

    • Background in software architecture and system design

    • AWS deployment knowledge, especially using ECS, Fargate, and Docker

    • Hands-on experience with CI/CD pipelines using GitHub Actions

    • SaaS experience, ideally building B2B products that deliver real customer value

    • Solid product thinking—you understand business needs and shape features that deliver outcomes

    • Comfortable managing epics, writing tickets, and coordinating engineering planning via Jira

    • Proven track record in early-stage startups with fast-paced delivery and cross-functional collaboration

    • A unique opportunity to work on cutting-edge AI technology that is revolutionizing the architectural industry. You'll be at the forefront of developing and implementing AI solutions that have a tangible impact on the world, aligning with mbue's vision of a “world built better with fewer errors.”

    • Full-time remote position (if you’re based in Austin, TX or New York, that’s a big plus!)

    • Competitive salary and equity grant

    • A high-trust, high-impact environment where your voice matters and your work directly shapes the company’s success

Principal Machine Learning Engineer

  • As the first Principal Machine Learning Engineer at mbue, you will spearhead the design, development, and implementation of advanced AI technology. This includes overseeing the research, development, and training of advanced models. You will collaborate closely with the CTO and CEO to ensure alignment with the product roadmap and the achievement of target milestones, mentor junior machine learning engineers, and help us continue to build an amazing team.

    For this position, you must demonstrate professional experience and proficiency in the following areas:

    1. Computer Vision and Deep Learning Expertise: Extensive knowledge of and hands-on experience with computer vision and deep learning techniques.

    2. Strong Leadership Skills: Proven ability to lead and mentor junior ML engineers to bring leading-edge technology to market.

    3. Communication Skills: A collaborative and open-minded team player who can effectively communicate with and inspire diverse thought among colleagues.

    Here’s what you’ll be doing:

    • Leading the research and development efforts to tackle our toughest problems.

    • Establish our overall training and evaluation pipeline for new solutions

    • Find incremental solutions to quickly address issues we see with the models in production

    • Hands on experimentation with new approaches that will empower for our next generation of capabilities

    • Strategic planning with CTO and CEO

    • Running experiments in an environment that prioritizes knowledge-sharing, inclusivity, and trust

    • Coordinating with junior machine learning engineers and software engineers

    What we’re looking for:

    • Strong hands-on coding skills with Python and PyTorch.

    • Extensive experience developing, deploying, and maintaining production-grade machine learning solutions.

    • Demonstrated experience in early-stage startups with mentoring and growing successful teams.

    • Proven experience in early-stage startup environments, thriving in dynamic and collaborative settings, while building from the ground up.

    • Proficiency in end-to-end model development, validation, and deployment.

    • Understanding of ML deployment architectures and experience with cloud platforms like AWS, Azure, or GCP.

    • Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

    • Strong problem-solving abilities, with a passion for staying on the cutting edge of Machine Learning and AI technologies.

    • A degree in Computer Science, Statistics, Machine Learning, or a related field. Advanced degrees are highly desirable.

    • A unique opportunity to work on cutting-edge AI technology that is revolutionizing the architectural industry. You'll be at the forefront of developing and implementing AI solutions that have a tangible impact on the world, aligning with mbue's vision of a “world built better with fewer errors.”

    • A chance to grow your (albeit already great) leadership and mentorship abilities. As the first full-time Principal Machine Learning Engineer, you will play a large role in shaping our company.

    • Full-time remote position (if you’re based in Austin, TX or New York, that’s a big plus!)

    • Competitive salary and equity grant

    • A high-trust, high-impact environment where your voice matters and your work directly shapes the company’s success

Machine Learning Engineer

  • We’re looking for a Machine Learning Engineer who’s ready to roll up their sleeves and take on some of the most ambitious AI challenges in construction. You’ll be expected to independently drive model development—from early experimentation to deployment and monitoring. This role is perfect for someone who is self-directed, impact-driven, and thrives in fast-paced, unstructured environments. You’ll need a builder’s mentality—practical, creative, and relentless in pursuit of great solutions.

    This isn’t a role where you’ll just tune hyperparameters. You’ll be solving real-world problems that don’t come with clean benchmarks or clear paths. If you bring a tenacious desire for excellence and a mindset focused on solving problems (not just using cool tech), we’d love to meet you.

    Here’s what you’ll be doing:

    • Build and deploy machine learning models from scratch, from experimentation to production

    • Develop computer vision and deep learning models to analyze architectural drawings

    • Research and apply LLM techniques for text-based tasks (in-context learning, prompt engineering, fine-tuning)

    • Operate and monitor ML systems in production to ensure stability and accuracy

    • Prototype and derisk uncertain tasks with creative, pragmatic approaches

    • Collaborate with the team to integrate ML into customer-facing features

    What we’re looking for:

    Must-Haves:

    • Startup experience—working in fast-paced, agile teams

    • 5+ years of hands-on experience in computer vision and deep learning techniques

    • Python proficiency, with strong coding fundamentals

    • Expertise in PyTorch and OpenCV

    • End to end experience working with text based models and familiarity with in-context learning, automated prompt engineering, and fine-tuning.

    • Hands-on experience with CNNs, ViTs, Transformers, RCNNs, and LLMs

    • Proven ability to build, deploy, and monitor ML systems in production

    • Comfortable tackling unstructured problems with creative solutions

    Nice-to-Haves:

    • SaaS/B2B product experience—delivering real customer value

    • Product experience

    • A chance to build cutting-edge AI that’s transforming the construction industry

    • Full-lifecycle ownership of your models—from research to real-world deployment

    • A startup environment where your work directly drives product innovation and customer impact

    • Full-time remote position (bonus if you’re based in Austin or NYC!)

    • Competitive salary and equity grant

Our culture.

At mbue, our company culture is a dynamic embodiment of our core values, with customer-centricity at the forefront. We are dedicated to deeply understanding our customers’ needs, ensuring that every solution we create delivers meaningful impact and value. We thrive on creativity, fostering an environment where every team member is encouraged to push the boundaries of conventional thinking and unleash their creative spirit to find innovative solutions. We are inherently inquisitive, constantly seeking knowledge to stay at the forefront of innovation. Honesty and integrity are non-negotiable, forming the foundation of trust in our relationships with clients, partners, and team members. These values combine to create a vibrant, inclusive, and highly creative company culture at mbue, shaping our journey toward revolutionizing the architectural review process and building a world with fewer errors.

Why work at mbue?

Imagine working on the most cutting edge AI technology that will transform the construction industry along with the most talented team of both industry and technology experts.

We’re a team of creative minds—customer-obsessed, endlessly curious, and grounded in integrity. Outside of work, we’re storytellers, game makers, soccer players, musicians, and foodies. As an early-stage startup with deep industry and technology roots, we just closed our first round of funding and are looking for a talented, tenacious Senior Software Engineer to join us. We’d love to meet you.

If you have any questions, please feel free to email us at: careers@mbue.ai

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